# Copyright (C) Alibaba Group Holding Limited. All rights reserved.

from damo.dataset import datasets

from .coco import coco_evaluation


def evaluate(dataset, predictions, output_folder, **kwargs):
    """evaluate dataset using different methods based on dataset type.
    Args:
        dataset: Dataset object
        predictions(list[BoxList]): each item in the list represents the
            prediction results for one image.
        output_folder: output folder, to save evaluation files or results.
        **kwargs: other args.
    Returns:
        evaluation result
    """
    args = dict(dataset=dataset,
                predictions=predictions,
                output_folder=output_folder,
                **kwargs)
    if isinstance(dataset, datasets.COCODataset):
        return coco_evaluation(**args)
    else:
        dataset_name = dataset.__class__.__name__
        raise NotImplementedError(
            'Unsupported dataset type {}.'.format(dataset_name))
